Lecture notes on how to allocate different types of investment in a portfolio to manage risk
Lecture notes on limitations of the value at risk model, and conditinal value at risk models for financial risk management
This video explains design of the Arecibo Message transmitted in the 1970s by SETI pioneers.
Lecture notes on dice games and the applications to financial investment strategy
This chapter details cell-cell communication highlighting studies performed in the model organism Dictyostelium discoideum. Topics covered include signaling molecules, cell surface receptors, and subversion of host cell signaling by pathogens.
Lecture notes on use of extreme value theory in financial risk management
Lecture notes introducing the current and emerging varieties of financial technologies (fintech)
Lecture notes on the current and emerging varieties of financial technology, part 2
Technologies have profoundly transform the financial markets and in turn present new challenge to the financial education. For instance, as financial markets become more complex and generate more information, it also becomes more and more challenging for market participants to digest and manage the information overload. Upon completion of the course the students will develop a toolkit and will be conversant in current issues related to financial risk management including the dynamic market changes, new trends in financial analysis and a historical perspective on financial risk management.
Lecture notes for an introduction to portfolio management lesson
Lecture notes on data and models that financial professionals utilize to measure risk
Lecture notes introducing how market expectations are formed and how this applies to financial risk management
Lecture notes detailing data sources that help to analyze market and interest rate risk
This book was created for upper division microbiology students studying virology. It will describe the molecular biology and major diseases of virus families that cause significant disease in animals and humans. This book is by no means meant to be exhaustive. In fact, because virology can be so overwhelming, the author has tried to keep the book as simple as possible, while still giving the reader a solid understanding of the molecular mechanisms of viral replication and pathogenesis.
Lecture notes defining Monte Carlo simulations, and introducing applications
Lecture notes for examples of using Monte Carlo simulations
Lecture notes for using Crystal Ball for modelling
Lecture notes on data science applications to financial risk management, part 1
Lecture notes on data science applications to financial risk management, part 2
Lecture notes on data science applications in financial risk management, part 4